Hydrolytically Degradable Cationic Flocculants For Improved Water Recovery From Mature Fine Tailings
Bibliographic record
Abstract
Oil sands mining operations in Canada produce large volumes of waste tailings that are difficult to dewater using commercial polyacrylamide-based flocculants. Recently, a novel hydrolytically-degradable polymer was synthesized through micellar radical polymerization of short-chain polyester cationic macromonomers. Poly(PCL2ChMA), made of polycaprolactone choline iodide ester methacrylate with two polyester units, effectively treated mature fine tailings (MFT) solutions as evaluated by measuring initial settling rate, supernatant turbidity, and capillary suction time (CST) of the sediments. Moreover, the novel materials become more hydrophobic with time, leading to an 85% reduction in CST after accelerated degradation for one week at 85 °C. The achievements described in this follow-up work are twofold. First, a procedure was developed to directly measure the extent of sediment dewatering that results from the polymer degradation, as previously the performance was indirectly inferred through CST measurements. Second, an investigation of the relationship between macromonomer structure and the performance of the polymer flocculant has led to the development of an improved material. Neither the substitution of PCL with poly(lactic acid) (PLA) units or replacement of the methacrylate functionality with acrylate greatly affects the ability of the resulting cationic flocculants to settle and separate the sediments in diluted MFT solutions because the synthesized polymers had similar charge densities and molecular weights. However, the faster degradation rates of the PLA-based materials lead to significantly faster dewatering of the sediments. 50% compaction was observed in PLA-polymer flocculated samples held for 5 days at 50 °C, whereas it was necessary to increase the temperature to 85 °C to achieve the same dewatering with the PCL-polymer flocculated samples. As a comparison, it was found that dewatering did not occur when the MFT material was flocculated with a non-degradable cationic polymer, non-ionic PAM, and commercial anionic FLOPAM A3338. A similar 50% compaction occurs in MFT sediments flocculated with LA-based polymers held at room temperature over several weeks, indicating that these materials degrade at a fast enough rate to provide solids compaction under field conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".